Triple

T13751130
Position Surface form Disambiguated ID Type / Status
Subject Sierra Popoluca E330352 entity
Predicate hasAlternativeName P39 FINISHED
Object Sierra Zoque-Popoluca
Sierra Zoque-Popoluca is an indigenous Mixe–Zoquean language spoken in the Sierra region of southern Veracruz, Mexico.
 E1046347 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Sierra Zoque-Popoluca | Statement: [Sierra Popoluca, hasAlternativeName, Sierra Zoque-Popoluca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sierra Zoque-Popoluca
Context triple: [Sierra Popoluca, hasAlternativeName, Sierra Zoque-Popoluca]
  • A. Zoque de Sayula
    Zoque de Sayula is an indigenous Zoquean language spoken by the Sayula Popoluca people of southern Mexico.
  • B. Sochiapam Chinantec
    Sochiapam Chinantec is an indigenous Chinantecan language spoken primarily in the region of San Pedro Sochiapam in Oaxaca, Mexico.
  • C. Sierra Mixe
    Sierra Mixe is a mountainous region in Oaxaca, Mexico, known as the traditional homeland of the Mixe Indigenous people.
  • D. Ojitlán Chinantec
    Ojitlán Chinantec is an indigenous Chinantecan language spoken primarily in and around San Lucas Ojitlán in the Mexican state of Oaxaca.
  • E. Tehuacán
    Tehuacán is a major city in southeastern Mexico known historically for its mineral springs, agricultural production, and role as a regional commercial center.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sierra Zoque-Popoluca
Triple: [Sierra Popoluca, hasAlternativeName, Sierra Zoque-Popoluca]
Generated description
Sierra Zoque-Popoluca is an indigenous Mixe–Zoquean language spoken in the Sierra region of southern Veracruz, Mexico.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sierra Zoque-Popoluca
Target entity description: Sierra Zoque-Popoluca is an indigenous Mixe–Zoquean language spoken in the Sierra region of southern Veracruz, Mexico.
  • A. Zoque de Sayula chosen
    Zoque de Sayula is an indigenous Zoquean language spoken by the Sayula Popoluca people of southern Mexico.
  • B. Sochiapam Chinantec
    Sochiapam Chinantec is an indigenous Chinantecan language spoken primarily in the region of San Pedro Sochiapam in Oaxaca, Mexico.
  • C. Sierra Mixe
    Sierra Mixe is a mountainous region in Oaxaca, Mexico, known as the traditional homeland of the Mixe Indigenous people.
  • D. Ojitlán Chinantec
    Ojitlán Chinantec is an indigenous Chinantecan language spoken primarily in and around San Lucas Ojitlán in the Mexican state of Oaxaca.
  • E. Tehuacán
    Tehuacán is a major city in southeastern Mexico known historically for its mineral springs, agricultural production, and role as a regional commercial center.
  • F. None of above.

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d81c573f288190aa2403d484fa3d49 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02148c208190a882927905a861a6 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a8560614819085958205637f3863 completed May 3, 2026, 7:56 p.m.
NEDg Description generation batch_69f7a8f6833881908bcca35d7d01596a completed May 3, 2026, 7:58 p.m.
NED2 Entity disambiguation (via description) batch_69f7a9c3c6548190802e1163c9c35b67 completed May 3, 2026, 8:02 p.m.
Created at: April 9, 2026, 10:08 p.m.